In this paper, we shall address the issue of semantic extraction of different regions of interest. The proposed approach is based on statistical methods and models inspired from l...
This paper proposes a new registration algorithm, Covariance Driven Correspondences (CDC), that depends fundamentally on the estimation of uncertainty in point correspondences. Th...
In this paper, we present a vision-based terrain mapping and analysis system, and a model predictive control (MPC)based flight control system, for autonomous landing of a helicop...
Todd Templeton, David Hyunchul Shim, Christopher G...
Transparency in 3D graphics has traditionally been created by ordering the transparent objects from back-to-front with respect to the viewpoint, and rendering the opaque objects ...
We consider the problem of fitting linearly parameterized models, that arises in many computer vision problems such as road scene analysis. Data extracted from images usually cont...